What are the hardware requirements for Gemma 4 E4B It FP8 Dynamic?

Gemma 4 E4B It FP8 Dynamic requires approximately 12 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B It FP8 Dynamic and how large is it?

Gemma 4 E4B It FP8 Dynamic is developed by axteam, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 4 E4B It FP8 Dynamic?

Gemma 4 E4B It FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E4B It FP8 Dynamic by axteam — VRAM 12GB

Name: Gemma 4 E4B It FP8 Dynamic
Author: axteam

Gemma 4 E4B It FP8 Dynamic is an open-source language model by axteam. Features: 8b LLM, VRAM: 12GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Compressed-tensors Conversational Endpoints compatible Fp8 Gemma Gemma4 Image-text-to-text Quantized Region:us Safetensors Vllm

Model Card on HF 🤗: https://huggingface.co/axteam/gemma-4-E4B-it-FP8-dynamic

Gemma 4 E4B It FP8 Dynamic Parameters and Internals

LLM Name	Gemma 4 E4B It FP8 Dynamic
Repository 🤗	https://huggingface.co/axteam/gemma-4-E4B-it-FP8-dynamic
Base Model(s)	Gemma 4 E4B It google/gemma-4-E4B-it
Model Size	8b
Required VRAM	12 GB
Updated	2026-10-15
Maintainer	axteam
Model Type	gemma4
Model Files	12.0 GB
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.5.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It FP8 Dynamic capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Gemma 4 E4B It FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 4 E4B It	0K / 16 GB	6327995	1114
Gemma 4 E4B It	0K / 16 GB	229908	23
Gemma 4 E4B	0K / 16 GB	268109	386
Vishwamai Stage1	0K / 16 GB	472	0
Gemma4 E4B 8B Heretic Ultra	0K / 16 GB	98	0
Gemma E4B Mt B Split3	0K / 16 GB	98	0
Vishwamai Merged Gemma	0K / 16 GB	39	0
Gemma E4B Mt B Split2	0K / 16 GB	63	0
Gemma 4 E4b It Bf16	0K / 16 GB	2279	6
Gemma 4 E4B It Fable Distill	0K / 16 GB	117	0

Note: green Score (e.g. "73.2") means that the model is better than axteam/gemma-4-E4B-it-FP8-dynamic.